On-line detection device and method for surface roughness of strip steel

A technology of surface roughness and detection method, applied in length measuring device, image enhancement, instrument, etc., can solve problems such as low efficiency, inability to monitor strip in real time, time difference, etc., and achieve high efficiency.

Active Publication Date: 2022-03-22
UNIV OF SCI & TECH BEIJING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention provides a strip steel surface roughness on-line detection device and method. The existing strip steel detection has the following problems. The detection of the strip steel surface roughness is offline detection, there is a time difference, and the strip steel with abnormal roughness cannot be monitored in real time. low efficiency

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  • On-line detection device and method for surface roughness of strip steel
  • On-line detection device and method for surface roughness of strip steel
  • On-line detection device and method for surface roughness of strip steel

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Embodiment 1

[0053] like figure 1 As shown, the present embodiment is a method for online detection of strip surface roughness, the method comprising:

[0054] S110, real-time online collection of laser images of the steel strip during movement;

[0055] S120. Intercepting the effective image of the central part of the laser image, performing grayscale processing and binarization processing on the effective image to obtain a grayscale image and a binary image;

[0056] S130. Calculate feature parameters by using grayscale images and binary images;

[0057] S140. Calculate the single-dimensional parameter by using the characteristic parameter through the single-dimensional parameter model;

[0058] S150 , calculating the surface roughness of the steel strip by using the single-dimensional parameter through the roughness evaluation model.

[0059]The online detection method of strip surface roughness in this embodiment takes the characteristic parameters in the calculated laser image as i...

Embodiment 2

[0086] like Figure 1 ~ Figure 3 As shown, the present embodiment is a method for online detection of strip surface roughness, the method comprising:

[0087] S110: real-time online collection of laser images of the steel strip in motion;

[0088] S120: Intercepting the effective image in the central part and performing average grayscale processing and binarization processing on the image; including:

[0089] S121. Intercept the effective image and obtain the three primary color values ​​and transparency information of each pixel, and the image size after interception is 1024*1024;

[0090] S122. Obtain the grayscale value of each pixel: average the color values ​​of the three primary colors of each pixel to obtain the grayscale value of the pixel, and convert the color image into a grayscale image. The calculation formula is as follows:

[0091] Gray(i,j)=(R(i,j)+G(i,j)+B(i,j)) / 3

[0092] Among them, Gray(i, j) is the gray value obtained by the average method, R(i, j) repr...

Embodiment 3

[0158] like Figure 4 As shown, the present embodiment provides a strip steel surface roughness on-line detection device, and the strip steel surface roughness on-line detection device can be applied to the strip steel surface roughness on-line detection method;

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Abstract

The invention discloses an online detection device and method for the surface roughness of strip steel. The method comprises the following steps: acquiring a laser image during movement of the strip steel online in real time; intercepting an effective image of the central part of the laser image, and performing gray processing and binarization processing on the effective image to obtain a gray image and a binary image; feature parameters are calculated by using the grayscale image and the binary image; calculating a single-dimensional parameter through a single-dimensional parameter model by utilizing the characteristic parameter; and calculating the surface roughness of the strip steel through the roughness evaluation model by using the single-dimensional parameters. The detection device comprises a supporting and driving roller way, a laser generator and a combined lens, laser beams emitted by the laser generator irradiate the surface of the strip steel after passing through the combined lens, and the high-speed industrial area-array camera collects laser images generated when the strip steel moves online in real time and transmits the laser images to the server. Real-time online detection of the surface roughness of the strip steel is achieved, no time difference exists, the strip steel with abnormal roughness can be monitored in real time, and efficiency is high.

Description

technical field [0001] The invention relates to the technical field of strip steel surface detection, in particular to an on-line detection device and method for strip steel surface roughness. Background technique [0002] Cold-rolled steel sheets have been used more and more widely in recent years and become the main industrial raw materials in the manufacturing industry. The ever-expanding demand creates high demands on its quality and precision. So far, the surface quality of cold-rolled steel strips used in manufacturing in my country still needs to be improved, which cannot meet the actual requirements. The surface quality defects of high-grade cold-rolled products are mostly caused by the microscopic appearance of the steel plate surface. The surface quality of the steel plate is not only related to the rolling process, but also has an inseparable relationship with the microscopic appearance of the roll surface. Among all the characterization parameters of surface mo...

Claims

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Application Information

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IPC IPC(8): B21B38/02G06T5/00G06T7/00
CPCB21B38/02G06T7/0004G06T2207/30136G06T5/90
Inventor 徐冬邵美琪李思仪杨荃王晓晨何海楠
Owner UNIV OF SCI & TECH BEIJING
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